Extraction and Simulation of the Impact of Flux Trapping in Moats of AC-Biased Shift Registers
Moats in superconducting ground planes are used to trap magnetic flux away from sensitive parts of superconductor integrated circuits. We simulate the effect of magnetic flux trapped in moats on the operating margins of ac-biased SFQ shift registers (ShReg) with two ground planes for various congrue...
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Zusammenfassung: | Moats in superconducting ground planes are used to trap magnetic flux away
from sensitive parts of superconductor integrated circuits. We simulate the
effect of magnetic flux trapped in moats on the operating margins of ac-biased
SFQ shift registers (ShReg) with two ground planes for various congruent moat
geometries, moat sizes, locations in the ShReg cells, number and polarity of
the trapped of fluxons. Using inductance extractor InductEx, we extract mutual
couplings between the moats and the ShReg inductors and include them in the
refined netlist. Then, we use JoSim to simulate the circuit operation and find
the threshold ac clock amplitude above which the register starts to operate
correctly. The relative change in this threshold is used to characterize the
influence of flux trapping on the circuit operation. Monte-Carlo simulations
are used to investigate the effect of the circuit parameter variations on the
statistics of the threshold, using the standard deviation of the Josephson
junction critical current and of the circuit inductance extracted from the
fabrication process control monitors. The obtained distributions are compared
with the independently measured distributions of the threshold amplitude for
the individual cells of ac-biased shift registers with 108,500 Josephson
junctions. The results show that flux trapping in properly designed moats have
a very small effect on the operation margins of the large-scale shift registers
whereas the main contribution to the cell-to-cell variation of the threshold
comes from the variation of the junctions' critical currents. |
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DOI: | 10.48550/arxiv.2411.02749 |